sync aiKnowledge: 150 insights, 1544 playbook

ai/knowledge/error_patterns.json

@@ -0,0 +1,137 @@
+[
+  {
+    "error_type": "TypeError",
+    "error_signature": "analysis() takes <N> positional arguments but 1 was given",
+    "wrong_code": "c.analysis(\"수익성\")",
+    "correct_code": "c.analysis(\"financial\", \"수익성\")",
+    "tool_name": "analysis",
+    "frequency": 5,
+    "last_seen": 1775313437.0288768
+  },
+  {
+    "error_type": "TypeError",
+    "error_signature": "analysis() missing 1 required positional argument",
+    "wrong_code": "c.analysis(\"성장성\")",
+    "correct_code": "c.analysis(\"financial\", \"성장성\")",
+    "tool_name": "analysis",
+    "frequency": 5,
+    "last_seen": 1775313437.0288768
+  },
+  {
+    "error_type": "TypeError",
+    "error_signature": "macro() got an unexpected keyword argument 'topic'",
+    "wrong_code": "dartlab.macro(topic=\"종합\")",
+    "correct_code": "dartlab.macro(\"종합\")",
+    "tool_name": "macro",
+    "frequency": 5,
+    "last_seen": 1775313437.0288768
+  },
+  {
+    "error_type": "TypeError",
+    "error_signature": "macro() got an unexpected keyword argument 'axis'",
+    "wrong_code": "dartlab.macro(axis=\"사이클\")",
+    "correct_code": "dartlab.macro(\"사이클\")",
+    "tool_name": "macro",
+    "frequency": 5,
+    "last_seen": 1775313437.0288768
+  },
+  {
+    "error_type": "KeyError",
+    "error_signature": "KeyError: 'cycle'",
+    "wrong_code": "result[\"cycle\"]",
+    "correct_code": "print(result.keys())  # 먼저 키 확인",
+    "tool_name": "macro",
+    "frequency": 5,
+    "last_seen": 1775313437.0288768
+  },
+  {
+    "error_type": "KeyError",
+    "error_signature": "KeyError: 'factors'",
+    "wrong_code": "result[\"factors\"]",
+    "correct_code": "print(result.keys())  # 먼저 키 확인",
+    "tool_name": "macro",
+    "frequency": 5,
+    "last_seen": 1775313437.0288768
+  },
+  {
+    "error_type": "KeyError",
+    "error_signature": "KeyError: 'narrative'",
+    "wrong_code": "result[\"narrative\"]",
+    "correct_code": "print(result.keys())  # 먼저 키 확인",
+    "tool_name": "macro",
+    "frequency": 5,
+    "last_seen": 1775313437.0288768
+  },
+  {
+    "error_type": "AttributeError",
+    "error_signature": "has no attribute 'empty'",
+    "wrong_code": "df.empty",
+    "correct_code": "len(df) == 0  # Polars는 .empty 없음",
+    "tool_name": "polars",
+    "frequency": 5,
+    "last_seen": 1775313437.0288768
+  },
+  {
+    "error_type": "AttributeError",
+    "error_signature": "has no attribute 'iterrows'",
+    "wrong_code": "df.iterrows()",
+    "correct_code": "df.iter_rows(named=True)  # Polars 문법",
+    "tool_name": "polars",
+    "frequency": 5,
+    "last_seen": 1775313437.0288768
+  },
+  {
+    "error_type": "AttributeError",
+    "error_signature": "has no attribute 'sort_values'",
+    "wrong_code": "df.sort_values(\"col\")",
+    "correct_code": "df.sort(\"col\")  # Polars 문법",
+    "tool_name": "polars",
+    "frequency": 5,
+    "last_seen": 1775313437.0288768
+  },
+  {
+    "error_type": "AttributeError",
+    "error_signature": "has no attribute 'to_dict'",
+    "wrong_code": "df.to_dict()",
+    "correct_code": "df.to_dicts()  # Polars는 to_dicts()",
+    "tool_name": "polars",
+    "frequency": 5,
+    "last_seen": 1775313437.0288768
+  },
+  {
+    "error_type": "MemoryError",
+    "error_signature": "c.sections",
+    "wrong_code": "c.sections",
+    "correct_code": "c.show(\"IS\")  # sections는 409MB. show(topic)으로 개별 조회",
+    "tool_name": "company",
+    "frequency": 5,
+    "last_seen": 1775313437.0288768
+  },
+  {
+    "error_type": "TimeoutError",
+    "error_signature": "scan join timeout",
+    "wrong_code": "df1.join(df2, ...)",
+    "correct_code": "# scan DataFrame join 금지 (타임아웃). 개별 scan 결과를 순차 해석",
+    "tool_name": "scan",
+    "frequency": 5,
+    "last_seen": 1775313437.0288768
+  },
+  {
+    "error_type": "TypeError",
+    "error_signature": "review() should be used only for explicit report requests",
+    "wrong_code": "c.review(\"수익성\")",
+    "correct_code": "c.analysis(\"financial\", \"수익성\")  # 분석에는 analysis 사용",
+    "tool_name": "review",
+    "frequency": 5,
+    "last_seen": 1775313437.0288768
+  },
+  {
+    "error_type": "AttributeError",
+    "error_signature": "has no attribute 'rename'",
+    "wrong_code": "df.rename({\"old\": \"new\"})",
+    "correct_code": "df.rename({\"old\": \"new\"})  # Polars rename은 동일하나 columns= 불필요",
+    "tool_name": "polars",
+    "frequency": 5,
+    "last_seen": 1775313437.0288768
+  }
+]

ai/knowledge/meta.json

@@ -0,0 +1,8 @@
+{
+  "version": 1,
+  "exported_at": 1776066621.8841176,
+  "stats": {
+    "insights": 150,
+    "playbook": 1544
+  }
+}

ai/knowledge/skills.json

@@ -0,0 +1,98 @@
+[
+  {
+    "question": "삼성전자 수익성 분석해줘",
+    "category": "profitability",
+    "tools_used": "[\"analysis\"]",
+    "code_template": "c = dartlab.Company(\"{stockCode}\")\nr = c.analysis(\"financial\", \"수익성\")\nflags = r.get(\"profitabilityFlags\", {})\nhistory = r[\"marginTrend\"][\"history\"][:5]\nprint(\"| 기간 | 매출(억) | 영업이익률 | 순이익률 |\")\nprint(\"| --- | --- | --- | --- |\")\nfor h in history:\n    rev = h.get(\"revenue\", 0)\n    opm = h.get(\"operatingMargin\", 0)\n    npm = h.get(\"netMargin\", 0)\n    print(f'| {h[\"period\"]} | {rev/1e8:,.0f} | {opm:.1f}% | {npm:.1f}% |')",
+    "result_keys": "[\"marginTrend\", \"profitabilityFlags\", \"returnTrend\"]",
+    "success_count": 1,
+    "quality_score": 0.8,
+    "mode": "analysis",
+    "created_at": 1775314511.7738278,
+    "last_used": 1775314511.7738278
+  },
+  {
+    "question": "신용등급 분석해줘",
+    "category": "credit",
+    "tools_used": "[\"credit\"]",
+    "code_template": "c = dartlab.Company(\"{stockCode}\")\ncr = c.credit(detail=True)\nprint(f\"등급: {cr['grade']}, 건전도: {cr['healthScore']}/100\")\nprint(f\"\\n주요 지표:\")\nfor k, v in cr.get(\"metrics\", {}).items():\n    print(f\"  {k}: {v}\")",
+    "result_keys": "[\"grade\", \"healthScore\", \"score\", \"metrics\", \"narratives\"]",
+    "success_count": 1,
+    "quality_score": 0.8,
+    "mode": "analysis",
+    "created_at": 1775314511.7953985,
+    "last_used": 1775314511.7953985
+  },
+  {
+    "question": "시장에서 수익성 좋은 회사 찾아줘",
+    "category": "profitability",
+    "tools_used": "[\"scan\"]",
+    "code_template": "df = dartlab.scan(\"profitability\")\nprint(df.columns)\nprint(df.head(10))",
+    "result_keys": "[]",
+    "success_count": 1,
+    "quality_score": 0.8,
+    "mode": "analysis",
+    "created_at": 1775314511.8073995,
+    "last_used": 1775314511.8073995
+  },
+  {
+    "question": "경제 사이클 분석해줘",
+    "category": "macro",
+    "tools_used": "[\"macro\"]",
+    "code_template": "r = dartlab.macro(\"사이클\")\nprint(r.keys())\nfor k, v in r.items():\n    if isinstance(v, dict):\n        print(f\"\\n{k}:\")\n        for k2, v2 in v.items():\n            print(f\"  {k2}: {v2}\")\n    else:\n        print(f\"{k}: {v}\")",
+    "result_keys": "[]",
+    "success_count": 1,
+    "quality_score": 0.8,
+    "mode": "analysis",
+    "created_at": 1775314511.8153992,
+    "last_used": 1775314511.8153992
+  },
+  {
+    "question": "최근 주가 추이 보여줘",
+    "category": "quant",
+    "tools_used": "[\"gather\"]",
+    "code_template": "c = dartlab.Company(\"{stockCode}\")\nprice = c.gather(\"price\")\nif price is not None:\n    print(price.tail(20))\nelse:\n    print(\"주가 데이터 없음\")",
+    "result_keys": "[]",
+    "success_count": 1,
+    "quality_score": 0.8,
+    "mode": "analysis",
+    "created_at": 1775314511.82488,
+    "last_used": 1775314511.82488
+  },
+  {
+    "question": "공시 검색",
+    "category": "search",
+    "tools_used": "[\"search\"]",
+    "code_template": "results = dartlab.search(\"유상증자\")\nprint(f\"검색 결과: {len(results)}건\")\nprint(results.head(10))",
+    "result_keys": "[]",
+    "success_count": 1,
+    "quality_score": 0.8,
+    "mode": "analysis",
+    "created_at": 1775314511.8328826,
+    "last_used": 1775314511.8328826
+  },
+  {
+    "question": "종합 분석해줘",
+    "category": "general",
+    "tools_used": "[\"analysis\"]",
+    "code_template": "c = dartlab.Company(\"{stockCode}\")\n# 3축 동시 수집\nprof = c.analysis(\"financial\", \"수익성\")\ngrowth = c.analysis(\"financial\", \"성장성\")\nstab = c.analysis(\"financial\", \"안정성\")\n\n# 수익성 요약\nh = prof[\"marginTrend\"][\"history\"][0]\nprint(f\"최근 영업이익률: {h.get('operatingMargin', 0):.1f}%\")\n\n# 성장성 요약\ng = growth.get(\"revenueGrowth\", {})\nprint(f\"매출 성장률: {g.get('yoy', 'N/A')}\")\n\n# 안정성 요약\ns = stab.get(\"debtAnalysis\", {})\nprint(f\"부채비율: {s.get('debtRatio', 'N/A')}\")",
+    "result_keys": "[\"marginTrend\", \"revenueGrowth\", \"debtAnalysis\"]",
+    "success_count": 1,
+    "quality_score": 0.8,
+    "mode": "analysis",
+    "created_at": 1775314511.842193,
+    "last_used": 1775314511.842193
+  },
+  {
+    "question": "재고자산 주석 분석",
+    "category": "general",
+    "tools_used": "[]",
+    "code_template": "c = dartlab.Company(\"{stockCode}\")\ninv = c.notes.inventory\nif inv is not None:\n    print(inv)\nelse:\n    print(\"재고자산 주석 데이터 없음\")",
+    "result_keys": "[]",
+    "success_count": 1,
+    "quality_score": 0.8,
+    "mode": "analysis",
+    "created_at": 1775314511.8515372,
+    "last_used": 1775314511.8515372
+  }
+]